Yongcun Song

Yongcun Song
[Past member] Postdoctoral Researcher (2022/24)
Funded by Alexander von Humboldt Stiftung/Foundation

  yongcun.song@fau.de
  Room 03.362 | Friedrich-Alexander-Universität Erlangen Nürnberg. FAU DCN-AvH Chair for Dynamics, Control, Machine Learning and Numerics – Alexander von Humboldt Professorship.
  +49 9131 85-67170

  My Publications at FAU-CRIS

Main research interests are numerical analysis and scientific computing in general. Topics include numerical optimization, operator splitting algorithms, machine learning, and optimal control problems.
 
 PhD Thesis: First order numerical algorithms for some optimal control problems with PDE contraints (July 23, 2021)
 

Teaching

• WS 22/23: Introduction to Control and Machine Learning
• WS 21/22: CML: Control, Machine Learning, and Numerics
 

Events

NdW23 FAU DCN-AvH at #NdW23: Long Night of Sciences, Erlangen – Bavaria, Germany.
October 7-10, 2024 | CIN-PDE 2024: Fedadmm-insa: an Inexact and Self-adaptive Admm for Federated Learning
June 10-14, 2024 | TrendsInMaths:Trends in Mathematical Sciences
 

My posts on Math & Research

The ADMM-PINNs Algorithmic Framework for Nonsmooth PDE-Constrained Optimization: A Deep Learning Approach

The ADMM-PINNs Algorithmic Framework for Nonsmooth PDE-Constrained Optimization: A Deep Learning Approach By Yongcun Song, Postdoctoral Researcher at FAU DCN-AvH ...

Publications

2025

2024

2023

2020

2019

2017

 

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